Profile
Data analyst with three years in retail analytics, turning sales and loyalty data into reports that store and category managers actually use. Strong in SQL, Python and Power BI. Interested in pricing and forecasting work.
Experience bullets
- Built a Power BI sales dashboard used weekly by 120 store managers, replacing 15 manual Excel reports.
- Wrote SQL models over 40 million loyalty transactions to measure promotion uplift; ended two promotions that lost money.
- Automated a weekly stock report in Python, saving the planning team about 6 hours a week.
- Ran an A/B test on email offers that lifted redemption from 3.1% to 4.4%.
Skills
SQLPython (pandas)Power BIExcelA/B testingData modellingGit
Link to a portfolio or GitHub if you have one. For each bullet, say what question you answered and what changed because of it.